senior applied scientist

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 To qualify, you must have:
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Hands on expertise designing and implementing GenAI solutions on Azure
 </li>
 <li>
 Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
 </li>
 <li>
 Hands on experience with python for prototyping and implementing GenAI solutions
 </li>
 <li>
 Expertise optimizing advanced RAG architectures and designing information retrieval system
 </li>
 <li>
 Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
 </li>
 <li>
 Understanding on the latest Agentic and RAG research and innovation areas
 </li>
 <li>
 Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 A highly curious and inquisitive approach to problem-solving
 
 
 In-depth knowledge of the latest developments in AI and machine learning
 
 
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The North America Stores GenAI Evaluation Media (GEM) team is seeking a Senior Applied Scientist to help shape the future of visual shopping experiences. We're building CXs and foundational capabilities to understand, enhance, and generate real-time GenAI imagery, videos and CXs that inspire customers and drive purchase confidence, towards our vision to be the leader in visual media. Specifically, the charter will focus on visual agentic experiences, multi-modal personalization, and real-time image/video generation, looking ahead as customer shopping continues to inspirational assistant-driven experiences. 
 
As a Senior Applied Scientist on the team, you will own and define the scientific vision, strategy, and roadmap for agentic AI capabilities that inform and guide the customer's shopping journey through visuals. This includes architecting and advancing core science primitives for multimodal understanding, visual content generation and editing, personalized virtual try-on, and automated quality assurance. You will establish the technical direction for foundational capabilities that enable customers to express and discover styles through multimodal conversation and receive personalized, visual responses that bring their ideas to life. 
 
Your scientific leadership will emphasize accurate, real-time visual understanding and generation, contextual understanding, and scalable personalization, enabling agentic AI to actively collaborate with customers to achieve their style goals. You will set the long-term research agenda, bringing together computer vision, natural language processing, generative AI, and human-centered design to create agentic shopping experiences that are as intuitive as talking to a human specialist with a deep domain knowledge base. Success requires defining and institutionalizing robust evaluation frameworks and metrics, influencing and aligning cross-functional partners across organizations, validating asset effectiveness across diverse customer touch points, identifying whitespace opportunities, and staying at the forefront of rapid advances in AI technology. 
 
The ideal candidate will have deep and broad technical expertise in Computer Vision, Generative AI, or related fields with a proven track record of connecting scientific work to customer and business outcomes at scale. You will serve as a technical leader and thought partner to scientists, engineers, and senior stakeholders across Amazon, mentoring junior scientists, raising the scientific bar, and delivering innovation while upholding a culture of scientific excellence and customer obsession. This role requires both rigorous research skills and practical engineering instincts, with a focus on delivering solutions that scale and a demonstrated ability to navigate ambiguity, make high-judgment trade-offs, and drive alignment across competing priorities. You will be expected to contribute to the broader scientific community through publications, patents, and internal knowledge sharing. This is a unique opportunity to shape the technical strategy for visual commerce through applied AI research, building the systems that will define how hundreds of millions of customers discover and evaluate products and styles through visual experiences. 
 
Key job responsibilities 
Innovation &amp; Technical Execution 
 
Define the research roadmap and advance core science primitives for vision and language understanding, visual content generation and editing, virtual try-on, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI 
Architect visual agentic systems, making high-judgment trade-offs across visual quality, relevance, latency, cost, and long-term extensibility 
Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points 
Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance 
Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact 
Drive development and deployment of scalable agentic systems for visual content understanding and generation, ensuring architectural decisions support long-term platform evolution 
Set and continuously raise the scientific and engineering bar across the team 
Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability 
Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents 
 
Cross-functional Influence &amp; Leadership 
 
Influence product and engineering roadmaps by partnering with senior leadership to shape customer-facing features grounded in scientific insight 
Drive technical alignment across multiple teams and organizations within Amazon, resolving ambiguity and building consensus on approaches 
Communicate research vision, findings, and technical trade-offs persuasively to executive, technical, and non-technical stakeholders, shaping investment decisions 
Mentor and develop junior and mid-level scientists, accelerating their growth and impact<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>4+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in building machine learning models for business application</li><li>Experience with conducting research in a corporate setting</li><li>Experience with neural deep learning methods and machine learning</li><li>Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.</li><li>Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist, GEM

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Alexa AI Domains is seeking a passionate, talented, and resourceful Senior Applied Scientist to invent and build scalable solutions for sate-of-the-art conversational AI. You will be working on advancing technologies in the fields of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval. As part of this role, you will collaborate with talented peers, have significant influence on our overall strategy as you guide and mentor Applied Scientists to create innovative and scalable solutions that touch millions of Alexa customers. 
Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of AI, and practical experience building large-scale machine learning systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. They will be passionate about new technologies and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. 
 
Join us in our mission to shape the space of Generative AI and provide unparalleled experiences for our customers.
 
 
Key job responsibilities 
<ul><li>Define the science roadmap and advance core science primitives for conversation modelling, content generation, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI</li><li>Architect agentic systems, making high-judgment trade-offs across audio/text/visual quality, relevance, latency, cost, and long-term extensibility</li><li>Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points</li><li>Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance</li><li>Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact</li><li>Drive development and deployment of scalable agentic systems for conversation understanding and generation, ensuring architectural decisions support long-term platform evolution</li><li>Set and continuously raise the scientific and engineering bar across the team</li><li>Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability</li><li>Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents</li></ul> 
About the team 
The AIDo (AI Domains) org is part of Alexa AI VP and Devices and Services SVP organizations. Our vision is to build an ecosystem of AI systems and services that elevate the core LLM model performance across endpoints, modalities, and locales. We are the horizontal Science and Engineering team that empowers Domains and Horizontal CX owners with transformative solutions that enable rapid, efficient scaling. AIDo represents a sophisticated global organization that spans multiple international locations including the US (Boston, Seattle), Germany, Italy, and India. The team's core mission is to develop and maintain AI systems and services that enhance the performance of core LLM models across various endpoints, modalities, and locales.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in building machine learning models for business application</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li><li>Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)</li><li>Usage of Generative AI tools to enhance workflow efficiency, with a willingness to learn effective agentic prompting and evaluation practices</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist , Alexa AI Domains

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you motivated to explore research in ambiguous spaces? Are you interested in conducting research that will improve the employee and manager experience at Amazon? Do you want to work on an interdisciplinary team of scientists that collaborate rather than compete? Join us at PXT Central Science! 
 
The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. 
 
We are seeking a senior Applied Scientist with expertise in more than one or more of the following areas: machine learning, natural language processing, computational linguistics, algorithmic fairness, statistical inference, causal modeling, reinforcement learning, Bayesian methods, predictive analytics, decision theory, recommender systems, deep learning, time series modeling. In this role, you will lead and support research efforts within all aspects of the employee lifecycle: from candidate identification to recruiting, to onboarding and talent management, to leadership and development, to finally retention and brand advocacy upon exit. 
 
The ideal candidate should have strong problem-solving skills, excellent business acumen, the ability to work independently and collaboratively, and have an expertise in both science and engineering. The ideal candidate is not methods-driven, but driven by the research question at hand; in other words, they will select the appropriate method for the problem, rather than searching for questions to answer with a preferred method. The candidate will need to navigate complex and ambiguous business challenges by asking the right questions, understanding what methodologies to employ, and communicating results to multiple audiences (e.g., technical peers, functional teams, business leaders). 
 
About the team 
We are a collegial and multidisciplinary team of researchers in People eXperience and Technology (PXT) that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer. We leverage data and rigorous analysis to help Amazon attract, retain, and develop one of the world&rsquo;s largest and most talented workforces.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 183,800.00 - 248,700.00 USD annually 
USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist, People eXperience & Technology Central Science (PXTCS)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Leo is Amazon&rsquo;s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. 
 
Key job responsibilities 
<ul><li>Solve large scale and complex optimization problems for operating satellite constellations</li><li>Work with our peer teams and customers to design suitable software systems to fulfill the mission needs.</li><li>Write code for production cloud native software systems in Java and Python.</li><li>Utilize AWS and other Amazon technologies to build high-available software services.</li><li>Help on-board and mentor new team members.</li><li>Lead technical roadmap definition efforts and decide what software services to build.</li></ul> 
Export Control Requirement 
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. 
 
A day in the life 
As a Senior Applied Scientist, you will play a crucial role in the development of services to support the automation of the Leo mission. You will work with a dynamic group of passionate engineers and collaborators across peer teams to identify automation needs, design novel solutions that meet customer requirements, and write software to automate key behaviors for our constellation's space and ground assets. You will be building low-latency, highly-scalable architecture to generate and execute our mission plans safely and effectively. 
 
About the team 
The team builds software which supports the automated planning and execution of satellite activities, empowering humans to automate key tasks and take themselves out of the loop as we scale the Leo constellation. We own services that model spacecraft behaviors, predict future vehicle state, capture operational constraints on our system, and generate mission schedules that serve our customers while preserving vehicle health and safety.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Master's degree</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of mathematics optimization such as linear programming and nonlinear optimization experience</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Redmond - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, Leo Autopilot

Insight Global

<div>
 
 
 Senior Data Scientist
 
 
 
 We are seeking a
 
 Senior Data Scientist
 
 to drive strategic insights and enable data‑informed decision‑making through advanced analytics. In this role, you will partner closely with cross‑functional teams to tackle complex, ambiguous business challenges and translate data into clear, actionable recommendations.
 
 
 The ideal candidate brings deep expertise in analytics and strategy, strong business acumen, and hands‑on experience with SQL, Python or R, and data visualization tools. You will leverage statistical and machine learning techniques, craft compelling data narratives, and influence stakeholders across the organization.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Partner with cross‑functional teams to frame ambiguous business problems and develop end‑to‑end analytical solutions.
 </li>
 <li>
 Apply statistical and machine learning techniques to uncover insights and drive strategic recommendations.
 </li>
 <li>
 Conduct full‑stack analytics using SQL, Python or R, and visualization tools (e.g., Tableau).
 </li>
 <li>
 Present findings and data stories through clear, compelling narratives tailored to diverse audiences.
 </li>
 <li>
 Serve as a strategic thought partner, influencing decisions without formal authority.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 10+ years
 
 in an analytics and strategy‑focused role.
 </li>
 <li>
 Strong business acumen with the ability to think both strategically and operationally.
 </li>
 <li>
 Self‑starter mentality with high accountability and energy.
 </li>
 <li>
 Proven track record providing actionable insights to cross‑functional teams.
 </li>
 <li>
 Expertise with
 
 SQL, R or Python
 
 , and data visualization tools such as
 
 Tableau
 
 .
 </li>
 <li>
 Experience applying
 
 statistical and machine learning
 
 methods.
 </li>
 <li>
 Bachelor&rsquo;s degree in
 
 Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences
 
 .
 </li>
 </ul>
 
 
 
 
 
 Nice‑to‑Have Qualifications
 
 
 <ul>
 <li>
 Ability to navigate ambiguous, complex problems and translate analysis into clear, actionable insights.
 </li>
 <li>
 Experience leading organization‑wide strategic initiatives or transformative analytics projects.
 </li>
 <li>
 Master&rsquo;s degree in a related field (Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences).
 </li>
 <li>
 Experience driving high‑impact analytics work in
 
 fintech or payments
 
 .
 </li>
 </ul>
 
 
 
 
 Compensation: $55-$60/hour
 
 
 
</div>

Data Scientist

Stott and May

<div>
 
 We&rsquo;re working with a digital client looking to bring on an experienced
 
 Data Scientist
 
 to support applied analytics and ML initiatives across an established cloud data platform.
 
 
 
 
 
 You&rsquo;ll join an existing delivery team as a senior individual contributor, working hands on across modeling, experimentation, and production deployment, with visibility across multiple business domains.
 
 
 
 
 
 This suits someone practical and commercially minded, comfortable taking models from idea through to production.
 
 
 
 
 
 Six month initial contract with strong likelihood of rolling extensions.
 
 
 
 
 
 Competitive hourly rates depending on experience, 40 hrs/week.
 
 
 
 
 
 Engagement via W2 or personal LLC only.
 
 No third parties.
 
 
 
 
 
 
 Fully remote, aligned to EST.
 
 
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 &bull; Building predictive and statistical models for real business use cases
 
 
 &bull; Working with large structured and semi structured datasets
 
 
 &bull; Partnering with data engineering to productionize models
 
 
 &bull; Designing experiments and validating model performance
 
 
 &bull; Translating business problems into analytical solutions
 
 
 &bull; Supporting model monitoring and continuous improvement
 
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 &bull; Strong experience as a Data Scientist in production environments
 
 
 &bull; Solid Python and SQL
 
 
 &bull; Experience with ML frameworks (scikit-learn, XGBoost, PyTorch, etc.)
 
 
 &bull; Strong statistics and modeling fundamentals
 
 
 &bull; Comfortable working with messy, real-world data
 
 
 &bull; Experience in agile, delivery-focused teams
 
 
 
 
 
 
 Nice to have
 
 
 
 &bull; Cloud experience (AWS / Azure / GCP)
 
 
 &bull; Feature engineering and model deployment exposure
 
 
 &bull; Experience supporting product or growth teams
 
 
 &bull; Basic MLOps familiarity
 
 
 
 
 
 
 Why this role
 
 
 
 &bull; Applied data science, not research
 
 
 &bull; Real business impact
 
 
 &bull; Flexible engagement model, extensions likely
 
 
 &bull; Opportunity to work with experienced data teams
 
</div>

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10000 senior applied scientist jobs Near Me

Senior Applied Scientist

Senior Applied Scientist, GEM

Senior Applied Scientist , Alexa AI Domains

Senior Applied Scientist, People eXperience & Technology Central Science (PXTCS)

Sr. Applied Scientist, Leo Autopilot

Data Scientist

Data Scientist